Jingrui He

According to our database, Jingrui He authored at least 194 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rare Category Analysis for Complex Data: A Review.

Dawei Zhou, Jingrui He

ACM Comput. Surv., May, 2024

VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections.

Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long

CoRR, 2024

Automated Contrastive Learning Strategy Search for Time Series.

Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren

CoRR, 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.

Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang

CoRR, 2024

Multi-modal Causal Structure Learning and Root Cause Analysis.

Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen

CoRR, 2024

FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes.

Haonan Wang, Ziwei Wu, Jingrui He

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

A Unified Framework for Adversarial Attacks on Multi-Source Domain Adaptation.

Jun Wu, Jingrui He

IEEE Trans. Knowl. Data Eng., November, 2023

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey.

Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He

SIGKDD Explor., 2023

Neural Contextual Bandits for Personalized Recommendation.

Yikun Ban, Yunzhe Qi, Jingrui He

CoRR, 2023

Contextual Bandits with Online Neural Regression.

Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee

CoRR, 2023

Dataset Distillation via the Wasserstein Metric.

Haoyang Liu, Tiancheng Xing, Luwei Li, Vibhu Dalal, Jingrui He, Haohan Wang

CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.

Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

CoRR, 2023

Neural Exploitation and Exploration of Contextual Bandits.

Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

CoRR, 2023

FairGen: Towards Fair Graph Generation.

Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He

CoRR, 2023

Everything Evolves in Personalized PageRank.

Zihao Li, Dongqi Fu, Jingrui He

Proceedings of the ACM Web Conference 2023, 2023

Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.

Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He

Proceedings of the ACM Web Conference 2023, 2023

Natural and Artificial Dynamics in GNNs: A Tutorial.

Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Fairness-aware Multi-view Clustering.

Lecheng Zheng, Yada Zhu, Jingrui He

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Graph-Structured Gaussian Processes for Transferable Graph Learning.

Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Meta-Learning with Neural Bandit Scheduler.

Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Test-Time Personalization for Federated Learning.

Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trustworthy Transfer Learning: Transferability and Trustworthiness.

Jun Wu, Jingrui He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Bandits.

Yunzhe Qi, Yikun Ban, Jingrui He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Personalized Federated Learning with Parameter Propagation.

Jun Wu, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).

Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning.

Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He

Proceedings of the International Conference on Machine Learning, 2023

Optimizing the Collaboration Structure in Cross-Silo Federated Learning.

Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He

Proceedings of the International Conference on Machine Learning, 2023

Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning.

Xinrui He, Tianxin Wei, Jingrui He

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Non-IID Transfer Learning on Graphs.

Jun Wu, Jingrui He, Elizabeth A. Ainsworth

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Visual Analytics of Anomalous User Behaviors: A Survey.

Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao

IEEE Trans. Big Data, 2022

Dynamic transfer learning with progressive meta-task scheduler.

Jun Wu, Jingrui He

Frontiers Big Data, 2022

Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future.

Dongqi Fu, Jingrui He

Frontiers Big Data, 2022

iNet: visual analysis of irregular transition in multivariate dynamic networks.

Dongming Han, Jiacheng Pan, Rusheng Pan, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen

Frontiers Comput. Sci., 2022

BOBA: Byzantine-Robust Federated Learning with Label Skewness.

Wenxuan Bao, Jingrui He

CoRR, 2022

Privacy-preserving Graph Analytics: Secure Generation and Federated Learning.

Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski

CoRR, 2022

Neural Collaborative Filtering Bandits via Meta Learning.

Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He

CoRR, 2022

Training Fair Deep Neural Networks by Balancing Influence.

Haonan Wang, Ziwei Wu, Jingrui He

CoRR, 2022

Adaptive Transfer Learning for Plant Phenotyping.

Jun Wu, Elizabeth A. Ainsworth, Sheng Wang, Kaiyu Guan, Jingrui He

CoRR, 2022

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.

Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Active Learning by Leveraging Training Dynamics.

Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Algorithms for Neural Active Learning.

Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distribution-Informed Neural Networks for Domain Adaptation Regression.

Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth A. Ainsworth

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Learning with Complex Heterogeneity.

Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Comprehensive Fair Meta-learned Recommender System.

Tianxin Wei, Jingrui He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Neural Bandit with Arm Group Graph.

Yunzhe Qi, Yikun Ban, Jingrui He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Meta-Learned Metrics over Multi-Evolution Temporal Graphs.

Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Domain Adaptation with Dynamic Open-Set Targets.

Jun Wu, Jingrui He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Unified Meta-Learning Framework for Dynamic Transfer Learning.

Jun Wu, Jingrui He

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits.

Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

Proceedings of the Tenth International Conference on Learning Representations, 2022

Fairness-aware Model-agnostic Positive and Unlabeled Learning.

Ziwei Wu, Jingrui He

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

MentorGNN: Deriving Curriculum for Pre-Training GNNs.

Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning.

Yao Zhou, Jun Wu, Haixun Wang, Jingrui He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

TrustLOG: The First Workshop on Trustworthy Learning on Graphs.

Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DISCO: Comprehensive and Explainable Disinformation Detection.

Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adaptive Knowledge Transfer on Evolving Domains.

Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He

Proceedings of the IEEE International Conference on Big Data, 2022

DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data.

Dongqi Fu, Jingrui He

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes.

Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski

IEEE Trans. Vis. Comput. Graph., 2021

High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective.

Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He

ACM Trans. Knowl. Discov. Data, 2021

Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce.

Xu Liu, Congzhe Su, Amey Barapatre, Xiaoting Zhao, Diane Hu, Chu-Cheng Hsieh, Jingrui He

IEEE Data Eng. Bull., 2021

From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems.

Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang

CoRR, 2021

Tackling Oversmoothing of GNNs with Contrastive Learning.

Lecheng Zheng, Dongqi Fu, Jingrui He

CoRR, 2021

Deep Active Learning by Leveraging Training Dynamics.

Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He

CoRR, 2021

Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising.

Yikun Ban, Jingrui He

CoRR, 2021

DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks.

Dongqi Fu, Jingrui He

CoRR, 2021

Heterogeneous Contrastive Learning.

Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong

CoRR, 2021

Deep Co-Attention Network for Multi-View Subspace Learning.

Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Controllable Gradient Item Retrieval.

Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Local Clustering in Contextual Multi-Armed Bandits.

Yikun Ban, Jingrui He

Proceedings of the WWW '21: The Web Conference 2021, 2021

SDG: A Simplified and Dynamic Graph Neural Network.

Dongqi Fu, Jingrui He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Indirect Invisible Poisoning Attacks on Domain Adaptation.

Jun Wu, Jingrui He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-facet Contextual Bandits: A Neural Network Perspective.

Yikun Ban, Jingrui He, Curtiss B. Cook

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Outlier Impact Characterization for Time Series Data.

Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Complex heterogeneity learning: A theoretical and empirical study.

Pei Yang, Qi Tan, Jingrui He

Pattern Recognit., 2020

RCAnalyzer: visual analytics of rare categories in dynamic networks.

Jiacheng Pan, Dongming Han, Fangzhou Guo, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen

Frontiers Inf. Technol. Electron. Eng., 2020

GAN-based Recommendation with Positive-Unlabeled Sampling.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

CoRR, 2020

Robust Decentralized Learning for Neural Networks.

Yao Zhou, Jun Wu, Jingrui He

CoRR, 2020

Continuous Transfer Learning with Label-informed Distribution Alignment.

Jun Wu, Jingrui He

CoRR, 2020

Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.

Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Crowd Teaching with Imperfect Labels.

Yao Zhou, Arun Reddy Nelakurthi, Ross Maciejewski, Wei Fan, Jingrui He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Data-Driven Graph Generative Model for Temporal Interaction Networks.

Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

InFoRM: Individual Fairness on Graph Mining.

Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Local Motif Clustering on Time-Evolving Graphs.

Dongqi Fu, Dawei Zhou, Jingrui He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Generic Outlier Detection in Multi-Armed Bandit.

Yikun Ban, Jingrui He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A View-Adversarial Framework for Multi-View Network Embedding.

Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.

Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.

Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-task Crowdsourcing via an Optimization Framework.

Yao Zhou, Lei Ying, Jingrui He

ACM Trans. Knowl. Discov. Data, 2019

Misc-GAN: A Multi-scale Generative Model for Graphs.

Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He

Frontiers Big Data, 2019

Location Prediction for Tweets.

Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski

Frontiers Big Data, 2019

Coalesced TLB to Exploit Diverse Contiguity of Memory Mapping.

Yikun Ban, Yuchen Zhou, Jingrui He, Xu Cheng, Jiangfang Yi

CoRR, 2019

Deep Multimodality Model for Multi-task Multi-view Learning.

Lecheng Zheng, Yu Cheng, Jingrui He

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.

Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation.

Dawei Zhou, Jingrui He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Task-Adversarial Co-Generative Nets.

Pei Yang, Qi Tan, Hanghang Tong, Jingrui He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification.

Jun Wu, Jingrui He, Jiejun Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.

Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy.

Jun Wu, Jingrui He

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.

Zhining Liu, Dawei Zhou, Jingrui He

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Convolution-Consistent Collective Matrix Completion.

Xu Liu, Jingrui He, Sam Duddy, Liz O'Sullivan

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Social Phishing.

Yada Zhu, Jingrui He

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

RCLens: Interactive Rare Category Exploration and Identification.

Hanfei Lin, Siyuan Gao, David Gotz, Fan Du, Jingrui He, Nan Cao

IEEE Trans. Vis. Comput. Graph., 2018

Function-on-Function Regression with Mode-Sparsity Regularization.

Pei Yang, Qi Tan, Jingrui He

ACM Trans. Knowl. Discov. Data, 2018

Feature co-shrinking for co-clustering.

Qi Tan, Pei Yang, Jingrui He

Pattern Recognit., 2018

Heterogeneous representation learning with separable structured sparsity regularization.

Pei Yang, Qi Tan, Yada Zhu, Jingrui He

Knowl. Inf. Syst., 2018

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.

Yao Zhou, Jingrui He

CoRR, 2018

ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data.

Jun Wu, Jingrui He, Yongming Liu

CoRR, 2018

Inferring Anchor Links Based on Social Network Structure.

Shuo Feng, Derong Shen, Tiezheng Nie, Yue Kou, Jingrui He, Ge Yu

IEEE Access, 2018

GTA³ 2018: Workshop on Graph Techniques for Adversarial Activity Analytics.

Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A Winners-Take-All Incentive Mechanism for Crowd-Powered Systems.

Pengfei Jiang, Weina Wang, Yao Zhou, Jingrui He, Lei Ying

Proceedings of the 13th Workshop on Economics of Networks, Systems and Computation, 2018

Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners.

Yao Zhou, Arun Reddy Nelakurthi, Jingrui He

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.

Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

E-tail Product Return Prediction via Hypergraph-based Local Graph Cut.

Jianbo Li, Jingrui He, Yada Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Local Algorithm for Product Return Prediction in E-Commerce.

Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Motif-Preserving Dynamic Local Graph Cut.

Dawei Zhou, Jingrui He, Hasan Davulcu, Ross Maciejewski

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation.

Jun Wu, Jingrui He, Yongming Liu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Source Free Domain Adaptation Using an Off-the-Shelf Classifier.

Arun Reddy Nelakurthi, Ross Maciejewski, Jingrui He

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Towards Optimal Connectivity on Multi-Layered Networks.

Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong

IEEE Trans. Knowl. Data Eng., 2017

Discovering rare categories from graph streams.

Dawei Zhou, Arun Karthikeyan, Kangyang Wang, Nan Cao, Jingrui He

Data Min. Knowl. Discov., 2017

Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach.

Yada Zhu, Jianbo Li, Jingrui He

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

MultiC²: an Optimization Framework for Learning from Task and Worker Dual Heterogeneity.

Yao Zhou, Lei Ying, Jingrui He

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.

Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

User-guided Cross-domain Sentiment Classification.

Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Local Algorithm for Structure-Preserving Graph Cut.

Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Local Algorithm for User Action Prediction Towards Display Ads.

Hongxia Yang, Yada Zhu, Jingrui He

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Multi-task Function-on-function Regression with Co-grouping Structured Sparsity.

Pei Yang, Qi Tan, Jingrui He

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Learning from Data Heterogeneity: Algorithms and Applications.

Jingrui He

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Randomized Approach for Crowdsourcing in the Presence of Multiple Views.

Yao Zhou, Jingrui He

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data.

Jianbo Li, Jingrui He, Yada Zhu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization.

Arun Reddy Nelakurthi, Jingrui He

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning.

Pei Yang, Hasan Davulcu, Yada Zhu, Jingrui He

IEEE Trans. Knowl. Data Eng., 2016

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.

Yada Zhu, Jingrui He

ACM Trans. Knowl. Discov. Data, 2016

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.

Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He

ACM Trans. Knowl. Discov. Data, 2016

Crowdsourcing via Tensor Augmentation and Completion.

Yao Zhou, Jingrui He

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bi-Level Rare Temporal Pattern Detection.

Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Functional Regression with Mode-Sparsity Constraint.

Pei Yang, Jingrui He

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Heterogeneous Representation Learning with Structured Sparsity Regularization.

Pei Yang, Jingrui He

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

A general framework for predictive tensor modeling with domain knowledge.

Yada Zhu, Jingrui He, Richard D. Lawrence

Data Min. Knowl. Discov., 2015

Learning Complex Rare Categories with Dual Heterogeneity.

Pei Yang, Jingrui He, Jia-Yu Pan

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Hierarchical Active Transfer Learning.

David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Co-Clustering based Dual Prediction for Cargo Pricing Optimization.

Yada Zhu, Hongxia Yang, Jingrui He

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning.

Pei Yang, Jingrui He

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

MUVIR: Multi-View Rare Category Detection.

Dawei Zhou, Jingrui He, K. Selçuk Candan, Hasan Davulcu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Rare Category Detection on Time-Evolving Graphs.

Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Graph-Based Hybrid Framework for Modeling Complex Heterogeneity.

Pei Yang, Jingrui He

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Cross-Site Virtual Social Network Construction.

Chenhao Xie, Deqing Yang, Jingrui He, Yanghua Xiao

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.

Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Graph-based Recommendation across Heterogeneous Domains.

Deqing Yang, Jingrui He, Huazheng Qin, Yanghua Xiao, Wei Wang

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Social Engineering/Phishing.

Jingrui He, Yada Zhu

Encyclopedia of Social Network Analysis and Mining, 2014

Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning.

Jingrui He, Yan Liu, Qiang Yang

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Learning with dual heterogeneity: a nonparametric bayes model.

Hongxia Yang, Jingrui He

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Learning from Label and Feature Heterogeneity.

Pei Yang, Jingrui He, Hongxia Yang, Haoda Fu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

MI2LS: multi-instance learning from multiple informationsources.

Dan Zhang, Jingrui He, Richard D. Lawrence

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Improving Traffic Prediction with Tweet Semantics.

Jingrui He, Wei Shen, Phani Divakaruni, Laura Wynter, Rick Lawrence

Proceedings of the IJCAI 2013, 2013

MILEAGE: Multiple Instance LEArning with Global Embedding.

Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Analysis of Rare Categories

Jingrui He

Cognitive Technologies, Springer, ISBN: 978-3-642-22812-4, 2012

An effective framework for characterizing rare categories.

Jingrui He, Hanghang Tong, Jaime G. Carbonell

Frontiers Comput. Sci., 2012

Adaptive Multi-task Sparse Learning with an Application to fMRI Study.

Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbonell

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

GenDeR: A Generic Diversified Ranking Algorithm.

Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K. Szymanski

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Hierarchical Multi-task Learning with Application to Wafer Quality Prediction.

Jingrui He, Yada Zhu

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Hierarchical Modeling with Tensor Inputs.

Yada Zhu, Jingrui He, Rick Lawrence

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Multi-view transfer learning with a large margin approach.

Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Diversified ranking on large graphs: an optimization viewpoint.

Hanghang Tong, Jingrui He, Zhen Wen, Ravi B. Konuru, Ching-Yung Lin

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A Graphbased Framework for Multi-Task Multi-View Learning.

Jingrui He, Rick Lawrence

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Coselection of features and instances for unsupervised rare category analysis.

Jingrui He, Jaime G. Carbonell

Stat. Anal. Data Min., 2010

Co-selection of Features and Instances for Unsupervised Rare Category Analysis.

Jingrui He, Jaime G. Carbonell

Proceedings of the SIAM International Conference on Data Mining, 2010

Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report.

Wei Shen, Yiannis Kamarianakis, Laura Wynter, Jingrui He, Qing He, Rick Lawrence, Grzegorz Swirszcz

Proceedings of the ICDMW 2010, 2010

Rare Category Characterization.

Jingrui He, Hanghang Tong, Jaime G. Carbonell

Proceedings of the ICDM 2010, 2010

Ensemble-Based Method for Task 2: Predicting Traffic Jam.

Jingrui He, Qing He, Grzegorz Swirszcz, Yiannis Kamarianakis, Rick Lawrence, Wei Shen, Laura Wynter

Proceedings of the ICDMW 2010, 2010

2009

Prior-Free Rare Category Detection.

Jingrui He, Jaime G. Carbonell

Proceedings of the SIAM International Conference on Data Mining, 2009

Graph-based transfer learning.

Jingrui He, Yan Liu, Richard D. Lawrence

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Rare Class Discovery Based on Active Learning.

Jingrui He, Jaime G. Carbonell

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Graph-Based Rare Category Detection.

Jingrui He, Yan Liu, Richard D. Lawrence

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

An evolutionary system for near-regular texture synthesis.

Fei Wu, Changshui Zhang, Jingrui He

Pattern Recognit., 2007

Nearest-Neighbor-Based Active Learning for Rare Category Detection.

Jingrui He, Jaime G. Carbonell

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Graph-Based Semi-Supervised Learning as a Generative Model.

Jingrui He, Jaime G. Carbonell, Yan Liu

Proceedings of the IJCAI 2007, 2007

Asymmetric Gradient Boosting with Application to Spam Filtering.

Jingrui He, Bo Thiesson

Proceedings of the CEAS 2007, 2007

2006

Generalized Manifold-Ranking-Based Image Retrieval.

Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang

IEEE Trans. Image Process., 2006

Manifold-Ranking-Based Keyword Propagation for Image Retrieval.

Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang

EURASIP J. Adv. Signal Process., 2006

2005

Learning No-Reference Quality Metric by Examples.

Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma

Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Graph based multi-modality learning.

Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma

Proceedings of the 13th ACM International Conference on Multimedia, 2005

Multiple random walk and its application in content-based image retrieval.

Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang

Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier.

Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Hai-Xin Duan, Xing Li

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Internet Traffic Prediction by W-Boost: Classification and Regression.

Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Boosting Web Image Search by Co-Ranking.

Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Unified Optimization Based Learning Method for Image Retrieval.

Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Classification of Digital Photos Taken by Photographers or Home Users.

Hanghang Tong, Mingjing Li, HongJiang Zhang, Jingrui He, Changshui Zhang

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Automatic Peak Number Detection in Image Symmetry Analysis.

Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval.

Jingrui He, Mingjing Li, Zhiwei Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang

Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Manifold-ranking based image retrieval.

Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang

Proceedings of the 12th ACM International Conference on Multimedia, 2004

Mean version space: a new active learning method for content-based image retrieval.

Jingrui He, Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang

Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction.

Hanghang Tong, Chongrong Li, Jingrui He

Proceedings of the Advances in Neural Networks, 2004

W-Boost and Its Application to Web Image Classification.

Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Symmetry feature in content-based image retrieval.

Jingrui He, Mingjing Li, HongJiang Zhang, Changshui Zhang

Proceedings of the 2004 International Conference on Image Processing, 2004